Courses Detail Information
ME6503J – Engineering Optimization
Instructors:
Credits: 3 credits
Pre-requisites: Linear Algebra, Applied Calculus, graduate course standard
Description:
Review and discuss basic optimality theorems and conditions;
Introduce theoretical methods for single-objective continuous optimization problems;
Present an overview of computational methods for single- and multi-objective design optimization problems, mainly with continuous design variables;
Introduce practical optimization software, such as Matlab optimization toolbox and Excel.
Course Topics:
Introduction
Math review, formulation
Unconstrained optimality
Unconstrained and constrained optimality: KKT conditions
Constrained optimality: KKT conditions,
Project Introduction
Constrained optimality
Constrained optimality: Global optimality;
Constrained optimality: More on KKT conditions
Linear programming
Project work, Matlab/Excel
Matlab/Excel
Genetic algorithms
Unconstrained methods
Multi-objective optimization
Constrained methods
Project presentations